0GTM1

Your GTM processes are costing you more than they should. I rebuild them as AI-powered systems.

The GTM layer between idea and scale.

You've got processes that work — account research, lead enrichment, outbound sequencing, scoring. They just run on manual effort, generic SaaS, and too many people-hours. I take those processes and turn them into automated systems that run faster, cheaper, and at a scale your team can't reach alone.

I take on 2–3 builds at a time to stay hands-on with every engagement.

Serge Akopyan

Serge GTM systems engineer.

6 years building across sales development, content marketing, demand generation, and GTM infrastructure.

LinkedIn →

The Problem

Your GTM works. It just doesn't scale.

You've proven the product has a market. Deals are happening. But growth still runs on manual effort, generic tooling, and processes that depend on a few people doing everything.

Process bottlenecks

Reps are manually researching accounts, enriching leads by hand, copy-pasting between tools. The work gets done. It just doesn't scale.

Expensive generic tooling

You're paying for SaaS tools that deliver surface-level results. They do 20% of what you actually need, nothing is customised to your process, and you're still filling the gaps manually.

Disconnected stack

HubSpot, LinkedIn, ZoomInfo, outreach tools — none of them talk to each other. Data lives in silos. Nobody has a unified view.

No internal build capability

Your team knows the process but can't architect the technical solution. You'd need to hire a Rev Ops engineer and an AI specialist — two roles, six months of ramp.

How It Works

Process in. System out.

Every engagement follows the same pattern: take a GTM process, decompose it into steps, rebuild it as an AI-powered system. The tech stack flexes to whatever the problem needs — Clay, Claude, n8n, Make, custom APIs.

01

Process Mapping & Design

1–2 weeks

Decompose your current GTM processes into step-by-step workflows. Identify what should be automated, what AI can handle, and what stays human. Define the target architecture and stack. Discovery happens here naturally — you can't design the system without understanding what's working and what isn't.

02

System Build

2–4 weeks

Build the AI-powered workflows, integrations, and automations. This is where manual processes become working systems — AI agents, data pipelines, scoring engines, enrichment workflows, sequencing automation, or whatever the architecture requires.

03

Handoff & Enablement

1–2 weeks

Make the system runnable without me. Documentation, training, dashboards, and onboarding materials so your team — or your next hire — can operate and iterate from day one.

What I've Built

AI Account Intelligence System

A Series A company expanding into mid-market with 25+ reps. 25,000 accounts in HubSpot, 100,000+ in ZoomInfo, and a £18K/year scoring tool that couldn't tell real fit from noise.

0+
Accounts scored in one day
0p
Per company evaluation
£0K
Annual SaaS replaced
£0K
Additional revenue generated

What I built

15 specialised AI research agents on Clay — each focused on a specific signal like hiring patterns, tech stack changes, funding events, and competitive positioning. A master agent synthesised everything into contextual profiles, then scored each company 1–100 with transparent reasoning, recommended angles, and objection handling.

The engagement fee was £9K. It replaced £18K/year in SaaS and drove £72K in additional revenue from improved close rates. The system became the foundation for all GTM activity.

Why Me

I don't need a strategist to tell me what to build, and I don't need a developer to build it.

I'm Serge. 6 years across sales development, content marketing, demand generation, and GTM engineering. That's not a scattered background — it's the reason I can see the whole system when most people only see their piece of it.

A pure automation engineer needs someone to hand them a spec. I walk in, see the broken process because I've done the job myself, and build the system that fixes it. The strategy is embedded in the engineering.

You're not choosing between me and a consultant, or between me and a dev shop. You're choosing between me and trying to hire two separate people — one to figure out what's wrong and one to build the fix. I'm both in one engagement.

Let's Talk

Your GTM processes, rebuilt as systems.

30 minutes. Tell me what's manual, what's expensive, and what's broken. I'll tell you what a system looks like.

I take on 2–3 builds at a time. If there's availability, let's talk.